| | --- |
| | base_model: stabilityai/stable-diffusion-3-medium-diffusers |
| | library_name: diffusers |
| | license: openrail++ |
| | tags: |
| | - text-to-image |
| | - diffusers-training |
| | - diffusers |
| | - sd3 |
| | - sd3-diffusers |
| | - template:sd-lora |
| | instance_prompt: a photo of ohwx cat |
| | widget: |
| | - text: A photo of ohwx cat sitting on the wooden flower in the studio with gray background |
| | output: |
| | url: image_0.png |
| | - text: A photo of ohwx cat sitting on the wooden flower in the studio with gray background |
| | output: |
| | url: image_1.png |
| | - text: A photo of ohwx cat sitting on the wooden flower in the studio with gray background |
| | output: |
| | url: image_2.png |
| | - text: A photo of ohwx cat sitting on the wooden flower in the studio with gray background |
| | output: |
| | url: image_3.png |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the training script had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| |
|
| | # SD3 DreamBooth LoRA - ainjarts/gray_cat_sd3_lora |
| | |
| | <Gallery /> |
| | |
| | ## Model description |
| | |
| | These are ainjarts/gray_cat_sd3_lora DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers. |
| |
|
| | The weights were trained using [DreamBooth](https://dreambooth.github.io/). |
| |
|
| | ## Trigger words |
| |
|
| | You should use a photo of ohwx cat to trigger the image generation. |
| |
|
| | ## Download model |
| |
|
| | [Download](ainjarts/gray_cat_sd3_lora/tree/main) them in the Files & versions tab. |
| |
|
| | ## License |
| |
|
| | Please adhere to the licensing terms as described `[here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE)`. |
| |
|
| |
|
| | ## Intended uses & limitations |
| |
|
| | #### How to use |
| |
|
| | ```python |
| | # TODO: add an example code snippet for running this diffusion pipeline |
| | ``` |
| |
|
| | #### Limitations and bias |
| |
|
| | [TODO: provide examples of latent issues and potential remediations] |
| |
|
| | ## Training details |
| |
|
| | [TODO: describe the data used to train the model] |